Microtica provides enterprises with a multi-tiered approach to cloud resource optimization through its innovative AI-driven cost optimization system:
- Intelligent Resource Analysis: Continuously monitor CPU/memory utilization and recommend appropriate instance specifications
- Idle resource identification: Automatically detects and flags unused cloud services (e.g., idle databases)
- sleep program: Support for setting up automatic suspension of the development/test environment during non-working hours
AI features offered by the platform also include:
- Generate visualized monthly cost reports to clearly show cost distribution
- Forecasting future resource requirements based on historical usage patterns
- Provide personalized savings recommendations (e.g., switch to reserved instances)
Real-world examples show that after adopting Microtica's optimization recommendations, enterprises can save an average of 40-601 TP3T in cloud costs, especially for development test environments with significant usage fluctuations.
This answer comes from the articleMicrotica: Simplifying Cloud Deployment and AI Analytics to Optimize Cloud ResourcesThe
May not be reproduced without permission:AI productivity tools " How does Microtica enable cost optimization in the cloud? What are the specific AI analytics capabilities?
